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Conditional random field in PyTorch.

Python versions PyPI project Build status Documentation status Code coverage License Built with Spacemacs

This package provides an implementation of linear-chain conditional random field (CRF) in PyTorch. This implementation borrows mostly from AllenNLP CRF module with some modifications.





Contributions are welcome! Please follow these instructions to install dependencies and running the tests and linter.

Installing dependencies

Make sure you setup a virtual environment with Python. Then, install all the dependencies in requirements.txt file and install this package in development mode.

pip install -r requirements.txt
pip install -e .

Setup pre-commit hook

Simply run:

ln -s ../../ .git/hooks/pre-commit

Running tests

Run pytest in the project root directory.

Running linter

Run flake8 in the project root directory. This will also run mypy, thanks to flake8-mypy package.